Great, now you can embed plots in HTML, and actually if you turn off the full_html option in plotly's to_html function, you can write as many plotly plots as you like to a html file by just appending the strings.īut what about layout, commentary, and tables of data? This is where I use python’s HTML templating libraries - which allow you to use python to generate static HTML files from templates. Photo by Pankaj Patel on Unsplash Step 2: Setting the Layout of the HTML Document In this post I’ll outline what I’ve been using to generate HTML reports in python, that look nice enough to share with non-technical stakeholders.
#PYTHON MARKDOWN HOW TO#
I’ve been working with a python heavy team though, so have been trying to figure out how to generate R markdown style documents. R markdown also has great tools to generate nice looking tables, not just plots. But compiling to HTML/pdf, with code snippets removed, that looks nice enough for a non-technical stakeholder, I’ve found clunky using Jupyter notebooks. Yes, Jupyter notebooks are a great way of sharing analysis with other developers. This is not as straightforward in python. This can then be compiled to a HTML or pdf file that you can share with non-technical stakeholders.
You can write snippets of R code that generate plots. R markdown is a powerful tool for sharing insights with stakeholders.
In this post we show how to write similar reports in python. R markdown is a powerful tool for sharing insights.
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